Alvin Sebastian^*, Maolin Tang, Yanming Feng, Mark Looi

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School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia.
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Abstract: Vehicular safety applications, such as cooperative collision warning systems, rely on beaconing to provide situational awareness that is needed to predict and therefore to avoid possible collisions. Beaconing is the continual exchange of vehicle motion-state information, such as position, speed, and heading, which enables each vehicle to track its neighboring vehicles in real time. This work presents a context-aware adaptive beaconing scheme that dynamically adapts the beaconing repetition rate based on an estimated channel load and the danger severity of the interactions among vehicles. The safety, efficiency, and scalability of the new scheme is evaluated by simulating vehicle collisions caused by inattentive drivers under various road traffic densities. Simulation results show that the new scheme is more efficient and scalable, and is able to improve safety better than the existing non-adaptive and adaptive rate schemes.

Keywords: VANET; DSRC; Vehicular Safety Communication; Safety Applications; Adaptive Beaconing; Context-Aware

Cite this paper: A. Sebastian, M. Tang, Y. Feng and M. Looi, "Context-Aware Rate-Adaptive Beaconing for Efficient and Scalable Vehicular Safety Communication," International Journal of Communications, Network and System Sciences, Vol. 5 No. 9, 2012, pp. 534-547. doi: 10.4236/ijcns.2012.59064.

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